Titlebook: Inertial Quasi-Velocity Based Controllers for a Class of Vehicles; With Simulation Appl Przemyslaw Herman Book 2022 The Editor(s) (if appli

宏伟

Models of Underwater Vehicles,cles deeper analyzes of specific problems were presented. The underwater vehicle models were presented earlier both in books and journal papers. For this reason, in this work, the known models are applied. Next, the transformed equations of motion in terms of so called the Inertial Quasi Velocities

真繁荣

Models of Hovercrafts and Vehicles in Horizontal Motion, (surge, sway, and yaw) model taking into account the horizontal motion of the vehicle. The model is highly nonlinear and as a result the used equations of motion are complicated. In order to simplify the control methods many researchers apply linearization of the dynamic model. The obtained control

Outwit

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yohimbine

IQV Based PD Control in Body-Fixed Frame,idered here differ from the classical PD controllers in that they include the vehicle dynamics in the control gains. These control algorithms are able to satisfy the position control objective globally for 6 DOF vehicles moving at low velocity. Both proposed controllers are realized in the Body-Fixe

惰性气体

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IQV Velocity Tracking Control in Body-Fixed Frame,vehicle control system. This chapter presents two non-adaptive velocity tracking controllers using the IQV. It is shown that based on nonlinear techniques some algorithms which ensure velocity error convergence in the finite time can be designed. The controllers are expressed in the Body-Fixed Repre

GONG

IQV Position and Velocity Tracking Control in Earth-Fixed Frame,f the IQV. The presented algorithms guarantee the position and velocity error convergence in the finite time. In contrast to previously discussed algorithms the controllers are realized in the Earth-Fixed Representation. The robustness analysis to vehicle parameters changes, the input control signal

amenity

IQV Position and Velocity Tracking Control with Adaptive Term in Body-Fixed Frame,class of vehicles and allow trajectory position and velocity tracking if disturbances can be described by a model. The control algorithms considered in this chapter guarantee the position and velocity error convergence in the finite time. They are realized in the Body-Fixed Representation. The input

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IQV Velocity Tracking Control with Adaptive Term in Body-Fixed Frame,n be applied to underwater vehicles, some horizontally moving vehicles, and indoor airships. They are realized in the Body-Fixed Frame and guarantee the velocity error convergence in the finite time if a disturbance model is assumed. The input control signals obtained after variables transformation,